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    Explanations

    specific locations or districts in urban settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-att-kk
    Configuration
    ckkissane/attn-saes-gpt2-small-all-layers/gpt2-small_L10_Hcat_z_lr1.20e-03_l11.30e+00_ds24576_bs4096_dc1.00e-05_rsanthropic_rie25000_nr4_v9.pt
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    float32
    Hook Name
    blocks.10.attn.hook_z
    Hook Layer
    10
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Head Attr Weights
    0:0.05
    1:0.03
    2:0.05
    3:0.06
    4:0.06
    5:0.06
    6:0.04
    7:0.06
    8:0.02
    9:0.16
    10:0.03
    11:0.31
    Negative Logits
    ucket
    -2.49
     Nepal
    -2.15
     distances
    -2.09
     occupation
    -2.06
    edIn
    -2.05
     Pakistan
    -2.02
     Suzuki
    -2.00
     distance
    -2.00
     imped
    -1.98
     Bahamas
    -1.98
    POSITIVE LOGITS
    iments
    2.22
     Digest
    2.15
    erest
    2.10
    lite
    2.09
     cort
    2.07
    isner
    2.06
     digest
    2.04
    ysc
    2.04
    rams
    2.01
    clair
    2.00
    Activations Density 0.008%

    No Known Activations